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reinforcement-learning
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Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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Unity Machine Learning Agents Toolkit
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Python Implementation of Reinforcement Learning: An Introduction
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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TensorFlow Tutorials with YouTube Videos
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Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
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StarCraft II Learning Environment
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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Open
Bidirectional RNN
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jonatasgrosman
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Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
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Build your neural network easy and fast, 莫烦Python中文教学
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Deep Reinforcement Learning for Keras.
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A course in reinforcement learning in the wild
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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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A JavaScript deep learning and reinforcement learning library.
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Repo for the Deep Reinforcement Learning Nanodegree program
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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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calerc
commented
Nov 23, 2020
The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:
numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0
Episode rewards do not seem to be updated in model.learn() before callback.on_step(). Depending on which callback.locals variable is used, this means that:
- episode rewards may n
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
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Jun 21, 2019 - C++
orihime-kitajima
commented
Jul 3, 2019
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
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Hi all!
I am trying a self-play based scheme, where I want to have two agents in waterworld environment have a policy that is being trained (“shared_policy_1”) and other 3 agents that sample a policy from a menagerie (set) of the previous policies of the first two agents ( “shared_policy_2”).
My problem is that I see that the weights in the menagerie are overwritten in every iteration by the cur